Data Analyst leveraging analytics and technical skills to innovate data solutions at Capital One. Collaborating with business teams to design and develop metrics, tools, and dashboards.
Responsibilities
Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
Drive analysis that provides meaningful insights on business strategies
Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
Build and execute tools to monitor and report on data quality
Requirements
Degree specialized in a Science, Technology, Engineering, Mathematics discipline
Scripting experience in (Python, R, Spark, and SQL)
Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
Experience utilizing and developing within Snowflake services
Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree.
At least 1 year of experience working with at least one scripting language
At least 1 year of experience utilizing business intelligence visualization tool
At least 1 year of experience querying, analyzing and working with data languages and platforms.
Master’s Degree in a Science, Technology, Engineering, Mathematics discipline (preferred).
At least 2 years of experience coding in Python, R, Spark, or SQL (preferred).
At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc. (preferred).
At least 1 year of experience utilizing and developing within AWS services (preferred).
At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ) (preferred).
Benefits
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
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